Last January 18th, IDAL members Juan José Garcés, José D. Martín and Fernando Mateo were giving a seminar at the renowned European Centre for Nuclear Research (CERN). Within the framework of the joint collaboration between IDAL and CERN that has been carried out the two past years, the seminar dicussed the feasibility of applying Machine Learning (ML) to automatically recognize mass spectra for UHV systems. The achieved results suggest that ML is indeed appropriate to deal with the problem and open up a window for more through analyses in the near future.
